Baber Baba
Open to work3 years experienceAI Engineer
AI Engineer with 3+ years of experience in ML pipelines and AI-powered applications.
Standing Rank
Rank Not Available
Developer Badges
Skills & Technologies
28 skillsWork Experience
AI/ML Engineer
Nethermind
- Engineered ML pipelines processing 10M+ cryptocurrency trade records across 20+ exchanges, generating reference prices and evaluating market quality at scale.
- Implemented and optimized FastAPI services, Kafka pipelines, and MySQL workflows to automate data ingestion, improving processing performance by 30%.
- Applied time-series analysis and ML techniques to detect market anomalies and performance patterns, achieving 85% detection accuracy.
- Developed Power BI and Tableau dashboards to visualize reference prices, liquidity, volatility, and exchange performance, reducing stakeholder reporting time by 40%.
- Architected the OpenReference platform's CCXT-Collector, Data Manager, and Session Manager components, driving a 25% increase in exchange selection efficiency.
AI Data Trainer (LLM Evaluation & Model Alignment)
Outlier
- Reviewed and corrected 100+ AI-generated Python code samples daily, identifying logic, syntax, and implementation issues to improve model performance on coding tasks.
- Evaluated and validated LLM outputs for multilingual reasoning and instruction-following tasks using structured annotation and feedback, improving response quality and consistency.
- Designed evaluation prompts, test cases, and quality benchmarks to assess model accuracy, reasoning, and code generation across diverse AI workflows.
- Collaborated with cross-functional AI teams to refine model behavior, strengthen evaluation pipelines, and improve training data quality for production LLMs.
Data Analyst
Alliance Construction
- Analyzed project execution, procurement, and financial data for infrastructure projects valued at ₹12+ crore, enabling data-driven planning, resource allocation, and budget optimization.
- Developed interactive Power BI and Tableau dashboards to monitor project progress, budget utilization, procurement, and key performance indicators (KPIs), improving reporting efficiency and supporting executive decision-making.
- Automated data collection, cleaning, and reporting workflows using SQL and Excel, reducing manual effort while improving the accuracy, consistency, and timeliness of project reports.
- Provided analysis and reporting that supported leadership in securing 5–6 high-value infrastructure projects (₹12+ crore each) within a six-month period, contributing directly to revenue growth.
Projects
Robotics Intelligence Agent
View Project- Deployed an autonomous AI monitoring agent that aggregates 800+ articles daily from 8+ robotics and AI sources.
- Designed an LLM-powered filtering pipeline using GPT-4o-mini to score, categorize, summarize, and rank content, storing curated results in SQLite with automatic deduplication.
- Automated the complete workflow using GitHub Actions and delivered daily research briefings through a Telegram bot.
AI Research Assistant
View Project- Developed a tool-calling AI agent using LangChain, LangGraph, and GPT-4o-mini that selects tools dynamically at runtime.
- The agent runs a reasoning loop: it breaks down the query, calls the selected tools, processes their outputs, and synthesizes a final answer.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Market Anomaly Detection Accuracy
Achieved 85% detection accuracy in market anomaly detection using time-series analysis and ML techniques.
Reporting Efficiency Improvement
Reduced stakeholder reporting time by 40% through Power BI and Tableau dashboard development.
About Details
Professional Bio
AI Engineer with 3+ years of experience building machine learning pipelines and AI-powered applications for large-scale data systems. Skilled in Python, SQL, FastAPI, Kafka, LangChain, and RAG-based AI systems.
Masters in Data Science
Amity University (2024 - 2026)
PG Diploma in Data Science
Robert H. Smith School, University of Maryland (2023 - 2025)
B.Tech: Civil Engineering
SRM University (2018 - 2022)